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Documents related to » data entry personnel


Selecting and Keeping Warehouse Personnel
Our question is: the traditional hiring methodology does not work so why do we continue to use it with one of our most important processes in the organization? We have to change our mindset and begin by focusing more on what a person needs to do, rather than what they have.

DATA ENTRY PERSONNEL: Selecting and Keeping Warehouse Personnel Selecting and Keeping Warehouse Personnel Rene Jones - April 16, 2005 Read Comments Introduction First of all, I d like to begin by stating that what we will discuss here today can be used for more than just warehouse personnel. And with that said, I would like to ask some basic questions: How important is hiring good people to your personal success as well as to the success of the company? Would you rank it number one or number two in overall importance? How
4/16/2005

Planning Horizon of a Technical Personnel Management System
Airlines struggle every day to reduce costs, maintain the level of customer service, and have more efficient processes, and this puts more pressure on line maintenance supervisors and engineers. This is where a maintenance personnel management system can be useful.

DATA ENTRY PERSONNEL: system will provide real data about the man-hours available and the site where they were used, as well as the extra technical staff that was required for the job. If the system is fed with the costs, then it can perform an accurate calculation of the budget and help the planning process. The previous information will help to plan for technical staff, because it provides elements to support the answers to the following questions: How many technicians do we need? What expertise should they have? When do we
8/19/2005

About Big Data
TEC analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions. There may not be a consensus with respect to just how big

DATA ENTRY PERSONNEL: About Big Data About Big Data Jorge García - November 18, 2011 Read Comments There is no general consensus with respect to how big big data is—some companies deal with data volumes in the order of terabytes or even petabytes—but not many people will disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement
11/18/2011 2:08:00 PM

Optimizing Gross Margin over Continously Cleansed Data
Optimizing Gross Margin over Continously Cleansed Data.Reports and Other Software System to Use In Your System for Optimizing Gross Margin over Continously Cleansed Data. Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

DATA ENTRY PERSONNEL: Margin over Continously Cleansed Data Optimizing Gross Margin over Continously Cleansed Data Source: epaCUBE Document Type: White Paper Description: Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information
6/20/2006 9:23:00 AM

The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

DATA ENTRY PERSONNEL: The Truth about Data Mining The Truth about Data Mining Anna Mallikarjunan - June 19, 2009 Read Comments A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other
6/19/2009

Next-generation Data Protection for Midsized Companies
Just because your company isn’t a major corporation with hundreds of offices and thousands of employees doesn’t mean you’re not under the same pressures to maintain access to critical information. But buying the same solutions as the major players in your industry can be expensive and unnecessary. Learn about next-generation data protection and recovery options specifically for small and midsized businesses (SMBs).

DATA ENTRY PERSONNEL: Next-generation Data Protection for Midsized Companies Next-generation Data Protection for Midsized Companies Source: IBM Document Type: White Paper Description: Just because your company isn’t a major corporation with hundreds of offices and thousands of employees doesn’t mean you’re not under the same pressures to maintain access to critical information. But buying the same solutions as the major players in your industry can be expensive and unnecessary. Learn about next-generation data protection
4/9/2010 1:18:00 PM

Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

DATA ENTRY PERSONNEL: Data: The Importance of Data Quality in Business Intelligence Distilling Data: The Importance of Data Quality in Business Intelligence Anna Mallikarjunan - July 17, 2009 Read Comments The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools
7/17/2009

The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

DATA ENTRY PERSONNEL: The Path to Healthy Data Governance through Data Security The Path to Healthy Data Governance through Data Security Jorge García - April 24, 2012 Read Comments The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any
4/24/2012 2:48:00 PM

The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

DATA ENTRY PERSONNEL: Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge García - December 23, 2009 Read Comments Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information
12/23/2009

The Why of Data Collection
Data collection systems work; however, they require a investment in technology. Before the investment can be justified, we need to understand why a data collection system may be preferable to people with clipboards.

DATA ENTRY PERSONNEL: The Why of Data Collection The Why of Data Collection Olin Thompson - November 3, 2005 Read Comments Introduction Data collection systems work. However, they mean an investment in technology. Before we can justify that investment, we need to understand why we may want to use a data collection system in place of people with clipboards. What is data collection? In a general sense, it is the manual or automated acquisition of data. That definition has evolved to mean various automated methods of data
11/3/2005

A Guide to Intelligent Data Auditing
Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision.

DATA ENTRY PERSONNEL: A Guide to Intelligent Data Auditing A Guide to Intelligent Data Auditing Source: Tizor Document Type: Checklist/Guide Description: Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of
3/19/2008 6:06:00 PM


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